Background and Objective: Patient–ventilator asynchrony (PVA) is prevalent in mechanical ventilation (MV) for critically ill patients and has been associated with adverse patient outcomes. However, studies investigating the associations between PVA and patient outcomes employ differing time windows for PVA evaluation. In this study, machine learn

Pressure-controlled (PC) ventilation is a pressure-targeted mode of mechanical ventilation (MV) to prevent barotrauma by using pre-set driving pressures. However, the lack of clinician consensus on approaches towards pressure-targeted MV management can lead to suboptimal MV treatment and adverse patient outcomes. This study presents an in-silico tr

This study aims to evaluate the effectiveness of machine learning (ML) models in predicting concrete damage using electromechanical impedance (EMI) data. From numerous experimental evidence, the damaged mortar sample with surface-mounted piezoelectric (PZT) material connected to the EMI response was assessed. This work involved the different ML mod

Abstract Bangladesh’s economy being a small one is home to a huge number of private commercial banks offering homogenous products giving rise to fierce competition within the industry. Gaining substantial customer loyalty can help bank companies survive the competition in the industry. This study tried to review the impact of service quality and

There is a need of cultivating developmentally appropriate module that can be implemented in schools to improve Critical Thinking (CT) skills in children for establishing groundwork for continuous learning and innovations. Literacy in science infused with enhancement of CT skills can better serve the goal of critical thinkers. The object of this st

The comprehensive exploration of the microbial composition of the gut and its role in depression underscores a complex interplay involving alterations in gut microbiome, immune pathways, and inflammatory control. Studies reveal potential biomarkers and therapeutic targets linked to depression, with particular bacterial genera correlated with the se

Current engineering structures are effectively utilizing monitoring techniques based on electromechanical impedance (EMI) by employing piezoelectric sensors the EMI method is employed to monitor structural health of these systems. This study focuses on performing numerical analyses for structural health monitoring in healthy and damaged aluminium s

This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. Utilizing a pre-trained YOLOv8L model, the ZED2I camera identifies objects and estimates distances using RGB and depth data. Th

In the past five years, the implementation of machine learning (ML) techniques has surged in civil engineering applications, particularly for optimizing and predicting solutions to various challenges. More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. These models may be used to estima

Leptin a 16-kDa peptide hormone plays an important regulatory role in basal metabolism and food intake. It is considered as a linkage between metabolism and the immune system. It plays a key role in different types of cancer due to its angiogenic, mitogenic, pro-inflammatory, and antiapoptotic properties. The fact that leptin is associated with tum